WO2022196996A1 - Dispositif électronique de détection d'emplacement en utilisant des données géomagnétiques, et son procédé de commande - Google Patents

Dispositif électronique de détection d'emplacement en utilisant des données géomagnétiques, et son procédé de commande Download PDF

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WO2022196996A1
WO2022196996A1 PCT/KR2022/003216 KR2022003216W WO2022196996A1 WO 2022196996 A1 WO2022196996 A1 WO 2022196996A1 KR 2022003216 W KR2022003216 W KR 2022003216W WO 2022196996 A1 WO2022196996 A1 WO 2022196996A1
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Prior art keywords
data
axis
electronic device
geomagnetic
coordinate system
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PCT/KR2022/003216
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English (en)
Korean (ko)
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이영포
김태윤
이형건
임채만
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삼성전자 주식회사
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Publication of WO2022196996A1 publication Critical patent/WO2022196996A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00—Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • G01C17/02—Magnetic compasses
    • G01C17/28—Electromagnetic compasses
    • G01C17/30—Earth-inductor compasses
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00—Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • G01C17/38—Testing, calibrating, or compensating of compasses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/323—Visualisation of programs or trace data

Definitions

  • This document relates to an electronic device for detecting a position using geomagnetic data and a method for controlling the same.
  • an electronic device for example, a portable electronic device such as a smart phone
  • communication service providers or electronic device manufacturers are competitively developing electronic devices to provide various functions and differentiate them from other companies. Accordingly, various functions provided through the electronic device are also increasingly advanced.
  • various techniques for measuring the location of the electronic device have been provided. For example, various methods for measuring an indoor location of an electronic device using geomagnetic data sensed using a three-axis geomagnetic sensor provided in the electronic device have been provided. In this case, the electronic device may determine the location of the electronic device using geomagnetic data sequentially acquired (eg, including a time component) according to the movement of the electronic device.
  • 1A, 1B, and 1C are exemplary views for explaining a case in which a deviation occurs according to a moving speed of an electronic device.
  • the number of samples of the obtained geomagnetic data is the number of samples of the reference data even if the electronic device moves the same distance. may be less than the number of Conversely, when the electronic device moves relatively slowly, the number of samples of the obtained geomagnetic data may be greater than the number of samples of the reference data even if the electronic device moves the same distance. Accordingly, in determining the position of the electronic device by comparing the sensed geomagnetic data with the reference data, a deviation from the reference data may occur according to the moving speed of the electronic device, so that it may be difficult to accurately measure the position of the electronic device.
  • the waveform 110 of the sensed geomagnetic data and the electronic device move relatively slower than the reference speed
  • the waveform 120 of the sensed geomagnetic data is illustrated as an example.
  • FIG. 1A geomagnetic data in the x-axis direction sensed when the electronic device moves faster than the reference speed and geomagnetic data in the x-axis direction sensed when the electronic device moves relatively slower than the reference speed are exemplarily shown. do.
  • FIG. 1A geomagnetic data in the x-axis direction sensed when the electronic device moves faster than the reference speed and geomagnetic data in the x-axis direction sensed when the electronic device moves relatively slower than the reference speed are exemplarily shown. do.
  • geomagnetic data in the y-axis direction sensed when the electronic device moves faster than the reference speed and geomagnetic data in the y-axis direction sensed when the electronic device moves relatively slower than the reference speed are illustrated by way of example. do.
  • geomagnetic data in the z-axis direction sensed when the electronic device moves faster than the reference speed and geomagnetic data in the z-axis direction sensed when the electronic device moves relatively slower than the reference speed are exemplarily shown.
  • the x-axis of the graph may represent the number of samples (or time), and the y-axis may represent the value of the sensed geomagnetic data.
  • FIGS. 2A, 2B, and 2C are exemplary views for explaining a case in which a waveform is distorted according to a movement pattern of an electronic device.
  • a waveform 210 when the electronic device moves without a substantial movement (eg, left-right movement) when the electronic device moves, and a user carrying the electronic device with an arm Waveforms 220 when the user moves while waving, such as when walking while waving, may be different from each other despite geomagnetic data sensed at the same location.
  • a substantial movement eg, left-right movement
  • geomagnetic data in the x-axis direction sensed when the user of the electronic device moves without substantial movement and geomagnetic data in the x-axis direction sensed when the user of the electronic device moves with substantial movement is illustrated by way of example.
  • geomagnetic data in the y-axis direction sensed when the user of the electronic device moves without substantial movement and geomagnetic data in the y-axis direction sensed when the user of the electronic device moves with substantial movement is illustrated by way of example.
  • geomagnetic data in the z-axis direction sensed when the user of the electronic device moves without substantial movement and geomagnetic data in the z-axis direction sensed when the user of the electronic device moves with substantial movement is illustrated by way of example.
  • it when measuring the position of the electronic device using geomagnetic data sequentially acquired (eg, including a time component) over time, it is accurate according to the deviation and/or distortion of the waveform as described above. It may be difficult to measure the location of the electronic device.
  • the waveform of the geomagnetic data in a predetermined specific area is simple (eg, when a pattern close to linear is shown), it is measured at another point Since the geomagnetic data may have similarities to each other and may be confused with each other, a false alarm event may be generated according to the similarity between the geomagnetic data.
  • the geomagnetic data sequentially acquired according to the time sequence is converted into data expressed in a coordinate system that does not include a time component, and then the user's position is measured based on the converted data.
  • an electronic device that prevents inaccurate position measurement due to the above-described deviation and/or waveform distortion when measuring the position of the electronic device is not performed.
  • the geomagnetic data sequentially acquired according to the time sequence is converted into data expressed in a coordinate system that does not include a time component, and then the user's position is measured based on the converted data.
  • a method for controlling an electronic device that prevents inaccurate position measurement due to the above-described deviation and/or waveform distortion when measuring the position of the electronic device is provided.
  • An electronic device includes a memory, at least one sensor module, and at least one processor, wherein the at least one processor is configured to store information about a specific location in an indoor space from the at least one sensor module.
  • Acquire sensing data wherein the acquired sensing data is data expressed in a first coordinate system including a time component, and the sensing data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component , and may be set to store the converted sensing data in the memory.
  • An electronic device includes a memory, at least one sensor module, and at least one processor, wherein the at least one processor is configured to store information about a specific location in an indoor space from the at least one sensor module.
  • Acquire sensing data wherein the acquired sensing data is data expressed in a first coordinate system including a time component, and the sensing data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component , and comparing the reference data stored in the memory with the converted sensing data to determine whether the electronic device has actually entered a target location.
  • a method of controlling an electronic device includes an operation of acquiring sensing data for a specific position in an indoor space from at least one sensor module of the electronic device, and the acquired sensing data is a time component ( axis) is data expressed in a first coordinate system, and converting the sensed data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component; and comparing the stored reference data with the converted sensing data to determine whether the electronic device has actually entered a target location.
  • the geomagnetic data sequentially acquired according to the time sequence is converted into data expressed in a coordinate system that does not include a time component, and then the user's position is measured based on the converted data.
  • an electronic device that prevents inaccurate position measurement due to the above-described deviation and/or waveform distortion when measuring the position of the electronic device is not performed.
  • 1A, 1B, and 1C are exemplary views for explaining a case in which a deviation occurs according to a moving speed of an electronic device.
  • 2A, 2B, and 2C are exemplary views for explaining a case in which a waveform is distorted according to a movement pattern of an electronic device.
  • FIG. 3 is a block diagram of an electronic device in a network environment, according to various embodiments of the present disclosure
  • FIG. 4 is an exemplary diagram for explaining a function or operation of generating and at least temporarily storing reference data by an electronic device according to an embodiment of the present document.
  • 5A, 5B, and 5C are exemplary views for explaining a case in which distortion of a waveform of geomagnetic data on which normalization is not performed does not occur in the second coordinate system according to an embodiment of the present document.
  • 6A, 6B, and 6C are exemplary views for explaining a case in which distortion of a waveform of geomagnetic data on which normalization is performed does not occur in the second coordinate system according to an embodiment of the present document.
  • 7A, 7B, and 7C are exemplary views for explaining geomagnetic data measured at a specific location in the room to generate reference data according to an embodiment of the present document.
  • 8A, 8B, and 8C are exemplary views for explaining a result of transforming geomagnetic data so that geomagnetic data on which normalization is not performed is expressed on a second coordinate system, according to an embodiment of the present document.
  • 9A, 9B, 9C, 9D, 9E, and 9F illustrate a result of transforming geomagnetic data so that normalized geomagnetic data is expressed on the second coordinate system, according to an embodiment of the present document
  • FIG. 10 is an exemplary view for explaining a function or operation of converting transformed geomagnetic data into an image and generating reference data by applying an image dilation method to the transformed image.
  • 11A, 11B, and 11C are exemplary views for explaining a result of converting the converted geomagnetic data into an image.
  • 12A, 12B, and 12C are exemplary views for explaining a result of applying an image expansion method to a converted image.
  • 13 is an exemplary view for explaining a function or operation of determining whether an electronic device enters a specific location by comparing reference data and measured geomagnetic data according to an embodiment of the present document.
  • 14A, 14B, and 14C are exemplary views for describing measured geomagnetic data according to an embodiment of the present document.
  • 15A, 15B, and 15C are exemplary views for explaining a result of comparing reference data and measured geomagnetic data according to an embodiment of the present document.
  • 16 is an exemplary view for explaining a result of summing comparison results for each axis according to an embodiment of the present document.
  • 17A, 17B, and 17C are exemplary views for explaining measured geomagnetic data according to an embodiment of the present document.
  • 18A, 18B, and 18C are exemplary diagrams for explaining a function or operation of generating a region filter according to an embodiment of the present document.
  • 19 is an exemplary diagram for explaining a function or operation of generating a 3D area filter according to an embodiment of the present document.
  • FIG. 3 is a block diagram of an electronic device 301 in a network environment 300 , according to various embodiments.
  • the electronic device 301 communicates with the electronic device 302 through a first network 398 (eg, a short-range wireless communication network) or a second network 399 . It may communicate with at least one of the electronic device 304 and the server 308 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 301 may communicate with the electronic device 304 through the server 308 .
  • a first network 398 eg, a short-range wireless communication network
  • a second network 399 e.g., a second network 399
  • the electronic device 301 may communicate with the electronic device 304 through the server 308 .
  • the electronic device 301 includes a processor 320 , a memory 330 , an input module 350 , a sound output module 355 , a display module 360 , an audio module 370 , and a sensor module ( 376 ), interface 377 , connection terminal 378 , haptic module 379 , camera module 380 , power management module 388 , battery 389 , communication module 390 , subscriber identification module 396 ) , or an antenna module 397 .
  • at least one of these components eg, the connection terminal 378
  • some of these components are integrated into one component (eg, display module 360 ). can be
  • the processor 320 for example, executes software (eg, a program 340) to execute at least one other component (eg, a hardware or software component) of the electronic device 301 connected to the processor 320 . It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or computation, the processor 320 converts commands or data received from other components (eg, the sensor module 376 or the communication module 390 ) to the volatile memory 332 . may be stored in , process commands or data stored in the volatile memory 332 , and store the result data in the non-volatile memory 334 .
  • software eg, a program 340
  • the processor 320 converts commands or data received from other components (eg, the sensor module 376 or the communication module 390 ) to the volatile memory 332 .
  • the volatile memory 332 may be stored in , process commands or data stored in the volatile memory 332 , and store the result data in the non-volatile memory 334 .
  • the processor 320 may include a main processor 321 (eg, a central processing unit or an application processor) or a secondary processor 323 (eg, a graphic processing unit, a neural network processing unit) a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor).
  • a main processor 321 eg, a central processing unit or an application processor
  • a secondary processor 323 eg, a graphic processing unit, a neural network processing unit
  • NPU neural processing unit
  • an image signal processor e.g., a sensor hub processor, or a communication processor.
  • the coprocessor 323 may be, for example, on behalf of the main processor 321 while the main processor 321 is in an inactive (eg, sleep) state, or when the main processor 321 is active (eg, executing an application). ), together with the main processor 321, at least one of the components of the electronic device 301 (eg, the display module 360, the sensor module 376, or the communication module 390) It is possible to control at least some of the related functions or states.
  • the coprocessor 323 eg, image signal processor or communication processor
  • may be implemented as part of another functionally related component eg, camera module 380 or communication module 390). have.
  • the auxiliary processor 323 may include a hardware structure specialized for processing an artificial intelligence model.
  • Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 301 itself on which the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 308).
  • the learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited
  • the artificial intelligence model may include a plurality of artificial neural network layers.
  • Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the above example.
  • the artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.
  • the memory 330 may store various data used by at least one component (eg, the processor 320 or the sensor module 376 ) of the electronic device 301 .
  • the data may include, for example, input data or output data for software (eg, the program 340 ) and instructions related thereto.
  • the memory 330 may include a volatile memory 332 or a non-volatile memory 334 .
  • the program 340 may be stored as software in the memory 330 , and may include, for example, an operating system 342 , middleware 344 , or an application 346 .
  • the input module 350 may receive a command or data to be used in a component (eg, the processor 320 ) of the electronic device 301 from the outside (eg, a user) of the electronic device 301 .
  • the input module 350 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).
  • the sound output module 355 may output a sound signal to the outside of the electronic device 301 .
  • the sound output module 355 may include, for example, a speaker or a receiver.
  • the speaker can be used for general purposes such as multimedia playback or recording playback.
  • the receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.
  • the display module 360 may visually provide information to the outside (eg, a user) of the electronic device 301 .
  • the display module 360 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the corresponding device.
  • the display module 360 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.
  • the audio module 370 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 370 acquires a sound through the input module 350 or an external electronic device (eg, a sound output module 355 ) connected directly or wirelessly with the electronic device 301 .
  • the electronic device 302 may output sound through (eg, a speaker or headphones).
  • the sensor module 376 detects an operating state (eg, power or temperature) of the electronic device 301 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the sensed state. can do.
  • the sensor module 376 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a geomagnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.
  • the interface 377 may support one or more specified protocols that may be used for the electronic device 301 to directly or wirelessly connect with an external electronic device (eg, the electronic device 302 ).
  • the interface 377 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.
  • HDMI high definition multimedia interface
  • USB universal serial bus
  • SD card interface Secure Digital Card
  • connection terminal 378 may include a connector through which the electronic device 301 may be physically connected to an external electronic device (eg, the electronic device 302 ).
  • the connection terminal 378 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).
  • the haptic module 379 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense.
  • the haptic module 379 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.
  • the camera module 380 may capture still images and moving images. According to one embodiment, the camera module 380 may include one or more lenses, image sensors, image signal processors, or flashes.
  • the power management module 388 may manage power supplied to the electronic device 301 .
  • the power management module 388 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).
  • PMIC power management integrated circuit
  • the battery 389 may supply power to at least one component of the electronic device 301 .
  • battery 389 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.
  • the communication module 390 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 301 and an external electronic device (eg, the electronic device 302 , the electronic device 304 , or the server 308 ). It can support establishment and communication performance through the established communication channel.
  • the communication module 390 may include one or more communication processors that operate independently of the processor 320 (eg, an application processor) and support direct (eg, wired) communication or wireless communication.
  • the communication module 390 is a wireless communication module 392 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 394 (eg, : It may include a local area network (LAN) communication module, or a power line communication module).
  • a wireless communication module 392 eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module
  • GNSS global navigation satellite system
  • wired communication module 394 eg, : It may include a local area network (LAN) communication module, or a power line communication module.
  • a corresponding communication module among these communication modules is a first network 398 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 399 (eg, legacy It may communicate with the external electronic device 304 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN).
  • a first network 398 eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)
  • a second network 399 eg, legacy It may communicate with the external electronic device 304 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN).
  • a telecommunication network
  • the wireless communication module 392 uses the subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 396 within a communication network, such as the first network 398 or the second network 399 .
  • the electronic device 301 may be identified or authenticated.
  • the wireless communication module 392 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR).
  • NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)).
  • eMBB enhanced mobile broadband
  • mMTC massive machine type communications
  • URLLC ultra-reliable and low-latency
  • the wireless communication module 392 may support a high frequency band (eg, mmWave band) to achieve a high data rate.
  • a high frequency band eg, mmWave band
  • the wireless communication module 392 uses various techniques for securing performance in a high-frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna.
  • the wireless communication module 392 may support various requirements specified in the electronic device 301 , an external electronic device (eg, the electronic device 304 ), or a network system (eg, the second network 399 ).
  • the wireless communication module 392 includes a peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency for realizing URLLC ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.
  • a peak data rate eg, 20 Gbps or more
  • loss coverage eg, 164 dB or less
  • U-plane latency for realizing URLLC
  • the antenna module 397 may transmit or receive a signal or power to the outside (eg, an external electronic device).
  • the antenna module 397 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern.
  • the antenna module 397 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication scheme used in a communication network such as the first network 398 or the second network 399 is connected from the plurality of antennas by, for example, the communication module 390 . can be selected. A signal or power may be transmitted or received between the communication module 390 and an external electronic device through the selected at least one antenna.
  • other components eg, a radio frequency integrated circuit (RFIC)
  • RFIC radio frequency integrated circuit
  • the antenna module 397 may form a mmWave antenna module.
  • the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.
  • peripheral devices eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)
  • GPIO general purpose input and output
  • SPI serial peripheral interface
  • MIPI mobile industry processor interface
  • the command or data may be transmitted or received between the electronic device 301 and the external electronic device 304 through the server 308 connected to the second network 399 .
  • Each of the external electronic devices 302 or 304 may be the same as or different from the electronic device 301 .
  • all or a part of operations executed in the electronic device 301 may be executed in one or more external electronic devices 302 , 304 , or 308 .
  • the electronic device 301 may perform the function or service itself instead of executing the function or service itself.
  • one or more external electronic devices may be requested to perform at least a part of the function or the service.
  • One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 301 .
  • the electronic device 301 may process the result as it is or additionally and provide it as at least a part of a response to the request.
  • cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used.
  • the electronic device 301 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing.
  • the external electronic device 304 may include an Internet of things (IoT) device.
  • the server 308 may be an intelligent server using machine learning and/or neural networks.
  • the external electronic device 304 or the server 308 may be included in the second network 399 .
  • the electronic device 301 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.
  • 4 is an exemplary diagram for explaining a function or operation of the electronic device 301 generating and storing reference data according to an embodiment of the present document.
  • 5A, 5B, and 5C are exemplary views for explaining a case in which distortion of a waveform of geomagnetic data on which normalization is not performed does not occur in the second coordinate system according to an embodiment of the present document.
  • 6A, 6B, and 6C are exemplary views for explaining a case in which distortion of a waveform of geomagnetic data on which normalization is performed does not occur in the second coordinate system according to an embodiment of the present document.
  • 7A, 7B, and 7C are exemplary views for explaining geomagnetic data measured at a specific location in the room to generate reference data according to an embodiment of the present document.
  • the electronic device 301 may acquire geomagnetic data including a time component in operation 410 .
  • the first coordinate system referred to in this document may refer to a coordinate system having a time component or a concept corresponding to the time component (eg, a sample index or a sample number) as a component of any one axis.
  • the second coordinate system referred to in this document may refer to a coordinate system that does not have a time component or a concept corresponding to the time component (eg, a sample index or a sample number) as a component of any one axis.
  • the electronic device 301 may acquire geomagnetic data for each axis for a specific time by using the sensor module 376 (eg, a three-axis geomagnetic sensor module).
  • the sensor module 376 eg, a three-axis geomagnetic sensor module
  • the three-axis geomagnetic sensor module according to an embodiment of the present document may be embedded in the electronic device 301 to acquire geomagnetic data of three axes orthogonal to the electronic device 301, and in this document, the electronic device The three orthogonal axes constituting ?
  • Geomagnetic data for each axis may be measured for each of the x-axis, y-axis, and z-axis as shown in FIGS. 7A, 7B, and 7C , for example.
  • FIG. 7A geomagnetic data in the x-axis direction from which a noise component is removed through a method such as curve fitting is exemplarily illustrated.
  • a horizontal axis may indicate a sample index
  • a vertical axis may indicate measured geomagnetic data values.
  • a horizontal axis may indicate a sample index
  • a vertical axis may indicate measured geomagnetic data values.
  • geomagnetic data in the z-axis direction from which a noise component is removed through a method such as curve fitting is exemplarily shown.
  • a horizontal axis may indicate a sample index
  • a vertical axis may indicate measured geomagnetic data values.
  • Geomagnetic data according to an embodiment of the present document is data sequentially acquired according to the movement time of the electronic device 301, and may include a time component.
  • the obtained geomagnetic data may be expressed as a specific waveform on the first coordinate system.
  • a horizontal axis (eg, x-axis) of the first coordinate system according to an embodiment of the present document may represent a sample index (eg, time), and a vertical axis (eg, y-axis) of the first coordinate system is the measured It can represent the value of geomagnetic data.
  • 7A, 7B, and 7C geomagnetic data measured while the electronic device 301 moves in a predetermined specific indoor space (eg, an area having a horizontal and vertical length of 1 m, respectively) is illustrated by way of example.
  • the electronic device 301 may transform the sensed data so that the sensed data obtained in operation 410 is expressed in a second coordinate system that does not include a time component.
  • “Transformation” includes a function or operation of transforming geomagnetic data so that the geomagnetic data obtained in operation 410 is expressed in a second coordinate system that does not include a time component, as well as the obtained geomagnetic data It may include a function or operation of normalizing , and/or a function or operation of dilating an image corresponding to the geomagnetic data to be expressed in the second coordinate system.
  • geomagnetic data in the second coordinate system may be expressed as follows.
  • Equation 1 Equation 2 and Equation 3 may mean magnetic field data about the x-axis, may mean magnetic field data about the y-axis, may mean magnetic field data about the z-axis.
  • Equation 1 Equation 2 and Equation 3, may mean a transform function, and the transform function may be defined by Equations 4 and 5 as follows. Equation 5 below may represent a transformation function for normalizing the measured geomagnetic data.
  • Equation 5 min() may mean the minimum value of the measured geomagnetic data value, and max() may mean the maximum value of the measured geomagnetic data value.
  • the following transform function may be selectively used.
  • various functions such as a conversion function using an exponential function, a conversion function using an absolute value, a conversion function using a logarithmic function, and/or a conversion function using a combination thereof Transform functions may be used.
  • at least one transform function selected by a user or selected by the electronic device 301 (eg, the processor 320 ) from among various transform functions may be used.
  • the measured geomagnetic data is substantially the same according to the measurement position regardless of the movement pattern of the electronic device 301 . It can be confirmed that it is measured with
  • a pattern of geomagnetic data measured when the user shakes and moves an arm and a pattern of geomagnetic data measured when the user moves without shaking the arm are different from each other. may be substantially the same. For example, referring to FIG.
  • the pattern of geomagnetic data in the case of "slow moving” rises in the vertical axis direction (eg, v-axis)
  • the pattern of geomagnetic data in the case of "fast moving” is also It can be confirmed that it rises in the vertical axis direction (eg, v axis) within the error range.
  • the pattern of geomagnetic data in the case of "fast moving” also has an error range It can be seen that it extends in the horizontal axis direction (eg, u-axis).
  • the horizontal axis direction eg, u-axis
  • the pattern of geomagnetic data in the case of "slow moving” rises in the vertical axis direction (eg, v-axis)
  • the pattern of geomagnetic data in the case of "fast moving” also has an error range It can be seen that it rises in the vertical axis direction (eg, v axis).
  • the measured geomagnetic data is substantially changed according to the measurement position, regardless of the moving speed of the electronic device 301 . It can be confirmed that the measurements have the same pattern.
  • a pattern of geomagnetic data measured when a user moves relatively quickly and a pattern of geomagnetic data measured when a user moves relatively slowly are substantially different from each other. can be the same as In FIGS.
  • the electronic device 301 converts geomagnetic data using a conversion function such as Equation 4 and/or Equation 5 for the geomagnetic data obtained as shown in FIGS. 7A, 7B and 7C.
  • can be converted 8A, 8B, and 8C are exemplary views for explaining a result of transforming geomagnetic data so that geomagnetic data on which normalization is not performed is expressed on a second coordinate system, according to an embodiment of the present document.
  • Normalization according to an embodiment of the present document may refer to a function or operation of re-scaling (eg, reducing the range of values) of data values.
  • Normalization may be performed, for example, through an equation such as Equation 5.
  • 8A, 8C, and 8C exemplarily show results obtained by converting the obtained geomagnetic data into a second coordinate system using Equation 4 by the electronic device 301 according to an embodiment of the present document.
  • 9A, 9B, 9C, 9D, 9E, and 9F illustrate a result of transforming geomagnetic data so that normalized geomagnetic data is expressed on the second coordinate system, according to an embodiment of the present document
  • 9A, 9B, and 9C exemplarily show results obtained by converting the obtained geomagnetic data into a second coordinate system using Equation 5 by the electronic device 301 according to an embodiment of the present document. do.
  • the range of values of non-normalized geomagnetic data (eg, FIG. 8A) (eg, +11.2 to +14.25 as the range of values of geomagnetic data on the vertical axis My)) It can be confirmed that the range of values of geomagnetic data is changed (eg, reduced) so that it has a value between 0 and 1 through the rescaling function or operation.
  • the non-normalized geomagnetic data range eg, -17.6 to -17.05 as the range of geomagnetic data values for the horizontal axis (Mx) has a value between 0 and 1 through the rescaling function or operation.
  • Patterns may be compared with respect to data having different data ranges through normalization according to an embodiment of the present document. For example, when the data of ⁇ 1, 2, 3, 4, 5 ⁇ and the data of ⁇ 11, 12, 13, 14, 15 ⁇ are normalized and compared, it can be determined that the data has the same pattern, which is the calibration It can be used for pattern comparison in a system in which a bias error such as calibration may occur.
  • 9D, 9E, and 9F exemplarily show a result of using Equation 6 as a transform function. As shown in FIGS.
  • the electronic device 301 may store the geomagnetic data converted in operation 420 in a memory (eg, the memory 330 of FIG. 3 ) at least temporarily.
  • the electronic device 301 according to an embodiment of the present document may display the result of the conversion as shown in FIGS. 8A, 8B, and 8C or FIGS. 9A, 9B, 9C, 9D, 9E, and 9F.
  • an image dilation method can be applied to the converted image.
  • the electronic device 301 according to an embodiment of the present document may store the image to which the image expansion method is applied as reference data in the memory (eg, the memory 330 of FIG. 3 ) of the electronic device 301 .
  • a specific image when expressed in a binary matrix, it is superimposed on a kernel having a specific shape and size (eg, a square having a size of 1 x 2) (eg, For example, if at least one of the values of a binary matrix element (e.g., one pixel) is 1, the ability to change the thickness of the original image to bold by changing the values of all binary matrix elements nested in the kernel to 1. Or it may mean an action.
  • a kernel having a specific shape and size eg, a square having a size of 1 x 2
  • (1,0) when (1,0) is included (eg, overlapped) in the kernel as a binary matrix element through a function or operation of changing all values of the binary matrix elements superimposed in the kernel to 1 , (1,0) may be changed to (1,1), causing the image to expand (eg change to bold).
  • one binary matrix element may correspond to one pixel, and the size of the kernel may be variously changed according to a user setting or a setting at the time of manufacturing the electronic device 301 .
  • the degree of image expansion may be variously changed according to a user's setting or a setting at the time of manufacturing the electronic device.
  • data converted to the second coordinate system may be expressed, stored, and/or processed in various forms.
  • in (u, v) coordinates constituting the second coordinate system can be used as matrix data.
  • matrix data may be expressed as an image in the electronic device, and through this, characteristics of the data may be more intuitively understood.
  • the matrix data will be described later by expressing it as an image.
  • the electronic device 301 stores sensing data (eg, data regarding a result obtained by applying curve fitting to the acquired sensing data) expressed in the first coordinate space in a memory, and
  • sensing data eg, data regarding a result obtained by applying curve fitting to the acquired sensing data
  • reference data may be generated by transforming the stored sensing data (eg, converting to a second coordinate system, imaging, and/or expanding).
  • the electronic device 301 determines the location of the electronic device after storing the sensing data expressed in the first coordinate space in the memory and storing the sensing data in the memory and generating reference data by converting stored sensing data when it is determined that the electronic device 301 has reached a specific location.
  • FIG. 10 is an exemplary view for explaining a function or operation of converting transformed geomagnetic data into an image and generating reference data by applying an image dilation method to the transformed image.
  • 11A, 11B, and 11C are exemplary views for explaining a result of converting the converted geomagnetic data into an image.
  • 12A, 12B, and 12C are exemplary views for explaining a result of applying an image expansion method to a converted image.
  • the functions or operations illustrated in FIG. 10 may be performed when it is determined that the electronic device 301 has reached a specific location.
  • the functions or operations illustrated in FIG. 10 may be performed in advance (eg, before the electronic device 301 reaches a specific location).
  • the electronic device 301 may express geomagnetic data in the second coordinate system. have.
  • the electronic device 301 according to an embodiment of the present document may convert geomagnetic data expressed in the second coordinate system into an image in operation 1020 .
  • a pattern and a background of geomagnetic data in the second coordinate system may be treated as one image file.
  • geomagnetic data expressed in the second coordinate system is treated as one image file in which the pattern (e: solid line) of the geomagnetic data is 1 (eg white) and the background is 0 (eg black). can see.
  • each of the patterns shown in FIGS. 8A, 8B, and 8C may be expressed as one binary matrix having as many columns as the number of u-axis samples and as many rows as the number of v-axis samples.
  • the binary matrix may include a binary matrix composed of 1's when there is a mapping between the u-axis and the v-axis (eg, corresponding to the solid line of the graph), and 0's otherwise.
  • 11A, 11B, and 11C exemplarily show a case in which the normalized geomagnetic data shown in FIGS. 9A to 9C is converted into an image. For example, referring to FIGS.
  • the electronic device 301 may expand the converted image in operation 1030 .
  • the pattern portion may be expanded as shown in FIGS. 12A, 12B and 12C .
  • the pattern portion may be expanded as shown in FIGS. 12A, 12B and 12C .
  • a black part in FIGS. 12A to 12C may be a part having 0 as an element, and a white part may be a part having 1 as an element.
  • the electronic device 301 may perform image expansion using, for example, Equation 6 below.
  • A may be data of a binary matrix constituting any one of the images shown in FIGS. 11A, 11B, and 11C
  • B is a binary matrix constituting a template image for expressing thickness. It can be data.
  • the template image for expressing the thickness may include an image represented by various binary matrices such as, for example, a 3x3 matrix, a 5x5 matrix, and a 10x10 matrix.
  • E may mean a set of all possible points in a two-dimensional Euclidean space.
  • the electronic device 301 may store the expanded image in operation 1040 .
  • the expanded image may be used as reference data.
  • 13 is an exemplary view for explaining a function or operation of determining whether the electronic device 301 has entered a specific location by comparing reference data and measured geomagnetic data according to an embodiment of the present document.
  • the electronic device 301 may acquire geomagnetic data expressed in a first coordinate system including a time component.
  • the electronic device 301 according to an embodiment of this document may acquire geomagnetic data for each axis for a specific time by using the sensor module 376 (eg, a three-axis geomagnetic sensor module).
  • Geomagnetic data expressed in the first coordinate system according to an embodiment of the present document is data sequentially acquired according to the movement time of the electronic device 301, and may include a time component.
  • a horizontal axis of the first coordinate system may indicate a sample index (eg, time), and a vertical axis of the first coordinate system may indicate a value of measured geomagnetic data.
  • operation 1310 may be performed when the electronic device 301 reaches the periphery of a predetermined specific area, but is not limited thereto. For example, operation 1310 is performed continuously (eg, periodically) while the electronic device 301 maintains an ON state regardless of whether the electronic device 301 has reached the periphery of a predetermined specific area. ) can also be performed.
  • whether the electronic device 301 has reached the vicinity of a predetermined specific area is determined by using various positioning methods (eg, a positioning method using Wi-Fi, a positioning method using GPS, and a geomagnetic sensor). positioning method used).
  • various positioning methods eg, a positioning method using Wi-Fi, a positioning method using GPS, and a geomagnetic sensor. positioning method used).
  • the electronic device 301 may transform the geomagnetic data so that the obtained geomagnetic data is expressed in a second coordinate system that does not include a time component.
  • the description in operation 420 may be equally applied.
  • the electronic device 301 according to an embodiment of the present document may convert the obtained geomagnetic data into various transformation functions (eg, Equations 4 to 4). Transformation functions such as Equation 6) may be used to transform to be expressed in the second coordinate system.
  • the electronic device 301 may convert geomagnetic data expressed in the second coordinate system into an image.
  • the geomagnetic data expressed in the second coordinate system has as many columns as the number of u-axis samples and as many rows as the number of v-axis samples. It can be expressed as a single binary matrix with .
  • the binary matrix may include a binary matrix composed of 1's when there is a mapping between the u-axis and the v-axis (eg, corresponding to the solid line of the graph), and 0's otherwise.
  • 14A, 14B, and 14C show geomagnetic data converted into an image.
  • FIG. 14A a case in which geomagnetic data on the x-axis is converted into an image is exemplarily illustrated in FIG. 14A .
  • FIG. 14B a case in which geomagnetic data on the y-axis is converted into an image is exemplarily illustrated in FIG. 14B .
  • FIG. 14C a case in which geomagnetic data on the z-axis is converted into an image is exemplarily illustrated in FIG. 14C .
  • the electronic device 301 compares the reference data with the geomagnetic data converted into an image to determine whether the electronic device 301 has entered the target location.
  • the electronic device 301 according to an embodiment of the present document may compare the reference data and the geomagnetic data converted into the image by performing a logical operation (eg, AND operation) on the reference data and the geomagnetic data converted into the image. .
  • a logical operation eg, AND operation
  • an AND operation is performed on each image (eg, reference data and geomagnetic data converted into an image)
  • only the element at the position having a value of 1 in each image becomes 1, In the remaining regions, a binary matrix having a value of 0 may be obtained.
  • the binary matrix generated using the reference data is represented by BM
  • the binary matrix generated using the geomagnetic data converted into an image is represented by BO
  • the binary matrix BT (Equation 8) and the analysis result Example: A final test statistic T(Equation 9)
  • the electronic device 301 according to an embodiment of the present document may be further configured to perform a logical operation after giving weights to the patterns of the converted geomagnetic data before performing the logical operation.
  • the electronic device 301 according to an embodiment of the present document may assign a weight to a specific pattern using a mapping table in which a correlation between a pattern of geomagnetic data converted into an image and a weight is defined. .
  • Equation 8 denotes the element product of an element unit
  • U and V denote the number of rows and columns of BT, respectively.
  • 15A, 15B, and 15C are exemplary views for explaining a result of comparing reference data and measured geomagnetic data according to an embodiment of the present document.
  • the electronic device 301 may obtain an analysis result for each of the sub-coordinate systems of the second coordinate system (eg, the Mx-My coordinate system, the My-Mz coordinate system, and the Mz-Mx coordinate system). can be calculated.
  • the sub-coordinate systems of the second coordinate system according to an embodiment of the present document are, for example, the coordinate system (Mx-My coordinate system) shown in FIG.
  • analysis refers to a function of comparing the reference data and the geomagnetic data converted into an image by performing a logical operation (eg, AND operation) on the geomagnetic data converted into the reference data and the image, or It can mean action.
  • a logical operation eg, AND operation
  • the electronic device 301 may determine that the user has entered a predetermined specific place when the sum of the analysis results is equal to or greater than a predetermined threshold value.
  • the electronic device 301 according to an exemplary embodiment of the present document provides information about each of the sub-coordinate systems of the second coordinate system (eg, the Mx-My coordinate system, the My-Mz coordinate system, and the Mz-Mx coordinate system).
  • the sum of the analysis results can be calculated.
  • 16 is an exemplary view for explaining a result of summing comparison results for each axis according to an embodiment of the present document.
  • the horizontal axis may represent the number of analyzes of geomagnetic data
  • the vertical axis may represent an analysis result.
  • the electronic device 301 may determine that the electronic device 301 has entered the target position when the sum of the analysis results is equal to or greater than a predetermined threshold value (eg, 900). For example, referring to FIG. 16 , since the sum of the analysis results at the second analysis point 1610 exceeds a predetermined threshold value, in this case, the electronic device 301 sets the electronic device 301 to a predetermined target. It can be judged that the position has been entered.
  • the analysis result for each of the sub-coordinate systems eg, Mx-My coordinate system, My-Mz coordinate system, and Mz-Mx coordinate system
  • a value eg, 400
  • the electronic device 301 when it is set to determine that the electronic device 301 has entered the target position when the value of the analysis result for the two sub-coordinate systems is equal to or greater than a predetermined threshold value, the electronic device 301 according to an embodiment of the present document ), it is determined that the electronic device 301 has entered the target position when the value of the analysis result for the two sub-coordinate systems (eg, the Mx-My coordinate system and the My-Mz coordinate system) is equal to or greater than a predetermined threshold value. can do.
  • the electronic device 301 according to an embodiment of this document performs a position detection method using an image on which image expansion is performed (in this document, it may be referred to as a "pattern analysis method" for convenience of description). In this case, normalized geomagnetic data can be used.
  • reference data is a specific region It is composed of an image including a An example is shown.
  • the geomagnetic data expressed in the second coordinate system has as many columns as the number of u-axis samples and as many rows as the number of v-axis samples. It can be expressed as a single binary matrix with .
  • the binary matrix may include a binary matrix composed of 1's when there is a mapping between the u-axis and the v-axis (eg, corresponding to the solid line of the graph), and 0's otherwise.
  • 17A, 17B, and 17C show geomagnetic data converted into an image.
  • the electronic device 301 may store, as reference data, an image including a specific region as shown in FIGS. 18A, 18B, and 18C instead of an image to which image expansion is applied. .
  • a specific region eg, a white region included in the coordinate region shown in FIG.
  • Rxy may be represented by Rxy
  • a specific region (eg, a white region) included in the coordinate region shown in FIG. 18B may be represented by Ryz.
  • a specific region (eg, a white region) included in the coordinate region shown in FIG. 18C may be expressed as Rzx.
  • Rxy, Ryz, and Rzx may be defined by Equations 10, 11, and 12 below.
  • u may represent a horizontal length of a specific area
  • v may represent a vertical length of a specific area.
  • Equation 10 may mean geomagnetic data in the x-axis direction
  • Equation 11 may mean geomagnetic data in the y-axis direction
  • Equation 12 may mean geomagnetic data in the z-axis direction.
  • the electronic device 301 uses Equations (8) and (9) for each image (eg, the image shown in FIG. 17A and the reference data shown in FIG. 18A , shown in FIG. 17B ). image and the reference data shown in FIG. 18B, and the image shown in FIG. 17C and the reference data shown in FIG. 18C) may be compared.
  • the electronic device 301 may calculate the analysis result T for each image as a result of the comparison.
  • the electronic device 301 adds up the analysis results T calculated for each image, and when the summed result value is equal to or greater than a predetermined threshold value, the electronic device 301 moves to the target position. can be considered to have entered.
  • sub-coordinate systems of the second coordinate system eg, Mx-My coordinate system including region Rxy, My-Mz coordinate system including region Ryz, and region Rzx including Whether the electronic device 301 has entered the target position may be determined based on the number of sub-coordinate systems in which the analysis result for each Mz-Mx coordinate system is equal to or greater than a predetermined threshold value.
  • the electronic device ( 301) of the analysis result for all sub-coordinate systems eg, Mx-My coordinate system including region Rxy, My-Mz coordinate system including region Ryz, and Mz-Mx coordinate system including region Rzx
  • the electronic device ( 301) of the analysis result for all sub-coordinate systems eg, Mx-My coordinate system including region Rxy, My-Mz coordinate system including region Ryz, and Mz-Mx coordinate system including region Rzx
  • the electronic device 301 when it is set to determine that the electronic device 301 has entered the target position when the value of the analysis result for the two sub-coordinate systems is equal to or greater than a predetermined threshold value, the electronic device 301 according to an embodiment of the present document ), when the value of the analysis result for the two sub-coordinate systems (eg, the Mx-My coordinate system including the region Rxy and the My-Mz coordinate system including the region Ryz) is greater than or equal to a predetermined threshold value, the electronic device It may be determined that 301 has entered the target position.
  • the electronic device 301 according to an embodiment of this document is not normalized when performing a position detection method using an image region (in this document, it may be referred to as a “region filter method” for convenience of description).
  • Geomagnetic data that is not available can be used.
  • the position of the electronic device 301 may be detected using only one of the pattern detection method and the area filter method, but each The position of the electronic device 301 may be detected by combining the methods of . For example, even when it is determined that the electronic device 301 has entered the target position using the pattern detection method, it is determined that the electronic device 301 has not entered the target position as a result of determining the position of the electronic device 301 using the area filter method. In this case, the electronic device 301 may process the result value of the pattern detection method as a false alarm, and finally determine that the electronic device 301 has not entered the target position.
  • a specific region in the region filter method (eg, the white region in FIGS. 18A, 18B and 18C , may be referred to as a “region filter” for convenience of description) It is not limited to a two-dimensional space, and may be defined as a three-dimensional region as shown in FIG. 19 .
  • a horizontal length (Lu), a vertical length (Lv), and a height (Lw) of the 3D region filter according to an embodiment of the present document may be determined by Equations 13, 14, and 15 as follows.
  • a transform function to determine a three-dimensional domain filter according to an embodiment of the present document can be applied.
  • the electronic device 301 provides a ratio of a horizontal length (Lu), a vertical length (Lv), and a height (Lw) of a 3D area filter as reference data and a horizontal length of the measured geomagnetic data, It may be determined whether the electronic device 301 has entered the target position by comparing the ratio of the vertical length and the height.
  • the electronic device 301 according to an embodiment of the present document may express the measured geomagnetic data in a three-dimensional space using the various methods described above, and calculate the ratio of the horizontal length, the vertical length, and the height of the measured geomagnetic data. can be calculated. In this document, for convenience of description, a method using a three-dimensional area filter as shown in FIG.
  • the position of the electronic device 301 may be detected using only one of a pattern detection method and a 3D area filter method. , may be combined to detect the position of the electronic device 301 . For example, even when it is determined that the electronic device 301 has entered the target position using the pattern detection method, it is determined that the electronic device 301 has not entered the target position as a result of determining the position of the electronic device 301 using the 3D area filter method. If it is determined, the electronic device 301 may treat the result value of the pattern detection method as a false alarm and finally determine that the electronic device 301 has not entered the target position.
  • the electronic device 301 may treat the result value of the area filter method as a false alarm and finally determine that the electronic device 301 has not entered the target position.
  • the horizontal length, vertical length, and height of the three-dimensional area filter are set as one point in a virtual three-dimensional space, and the horizontal length, vertical length, and height of the measured geomagnetic data are set to other points.
  • the electronic device 301 After setting as one point, if the distance between the two points in the three-dimensional space is smaller than a predetermined threshold value, it may be determined that the measured geomagnetic data is included in the area filter. Conversely, when the distance between the two points is equal to or greater than the threshold value, the electronic device 301 according to an embodiment of the present document may determine that the geomagnetic data measured in the area filter is not included. In this way, the amount of computation can be reduced.
  • An electronic device (eg, electronic device 301 ) according to an embodiment of the present document includes a memory (eg, memory 330 ), at least one sensor module (eg, sensor module 376 ), and at least one processor (eg, processor 320 ), wherein the at least one processor acquires sensing data for a specific location in the indoor space from the at least one sensor module, and the acquired sensing data is time data represented in a first coordinate system comprising a component, It may be configured to transform the sensing data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component, and to store the converted sensing data in the memory.
  • a memory eg, memory 330
  • at least one sensor module eg, sensor module 376
  • processor eg, processor 320
  • the at least one sensor module includes a three-axis geomagnetic sensor, and the sensing data includes geomagnetic data on a first axis, geomagnetic data on a second axis and Geomagnetic data for the third axis may be included.
  • the second coordinate system includes a first sub-coordinate system in which the geomagnetic data of the first axis is an x-axis and the geomagnetic data of the second axis is a y-axis;
  • the second coordinate system the data obtained by normalizing the geomagnetic data for the first axis as the x-axis and the data obtained by normalizing the geomagnetic data for the second axis as the y-axis
  • the third It may include a sixth sub-coordinate system in which data obtained by normalizing geomagnetic data on an axis as an x-axis and data obtained by normalizing geomagnetic data with respect to the first axis as normalizing as a y-axis.
  • the at least one processor converts the sensed data and then before storing it in the memory, the converted data is imaged, and the imaged data is dilated (dilation) to the memory It can be further set to store in .
  • An electronic device (eg, electronic device 301 ) according to an embodiment of the present document includes a memory (eg, memory 330 ), at least one sensor module (eg, sensor module 376 ), and at least one a processor (eg, a processor 320), wherein the at least one processor obtains sensing data for a specific location in an indoor space from the at least one sensor module, and the obtained sensing data includes a time component is data expressed in a first coordinate system, and transforms the sensing data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component, and the reference data stored in the memory and the converted sensing data may be set to determine whether the electronic device has actually entered a target location by comparing the .
  • a memory eg, memory 330
  • the obtained sensing data includes a time component is data expressed in a first coordinate system, and transforms the sensing data so that the acquired sensing data is expressed in a second coordinate system that does not include the time component
  • the reference data is imaged and stored in the memory, and the at least one processor images the converted sensing data and performs a logical operation on the imaged data and the reference data. It may be set to determine whether the electronic device is substantially located at the target position by performing the operation.
  • the at least one processor may be configured to determine that the electronic device has substantially entered the target position when the sum of the results of performing the logical operation is equal to or greater than a threshold value.
  • the converted sensing data may be sensed data converted based on normalized data.
  • the at least one processor may be further configured to perform the logical operation after assigning a weight to the pattern of the converted sensing data before performing the logical operation.
  • the reference data includes a range of geomagnetic data for a first axis among sensing data previously measured by the sensor module as a length in an x-axis direction, and a second value among the pre-measured sensing data.
  • a first sub-region having a range of geomagnetic data for two axes as a length in a y-axis direction, a range of geomagnetic data for a second axis among the pre-measured sensing data as a length in an x-axis direction, and the pre-measured sensing data A second sub-region having a range of geomagnetic data for a third axis as a length in a y-axis direction among data, and a range of geomagnetic data for a third axis among the pre-measured sensing data as a length in an x-axis direction,
  • the range of geomagnetic data for the first axis may include data defined as a third sub-region having a length in the y-axis direction.
  • the at least one processor is configured to: When the converted sensing data is included in each of the first sub-region, the second sub-region, and the third sub-region at a predetermined threshold ratio or more, It may be set to determine that the electronic device has substantially entered the target location.
  • the converted sensing data may be sensed data converted based on non-normalized data.
  • the reference data includes a range of geomagnetic data for a first axis among sensing data previously measured by the sensor module as a length in an x-axis direction, and among the previously measured sensing data Includes data defined as a subspace in which the range of the geomagnetic data for the second axis is the length in the y-axis direction, and the range of the geomagnetic data for the third axis among the previously measured sensing data is the length in the z-axis direction. can do.
  • the at least one processor may include a ratio of the length in the x-axis direction, the length in the y-axis direction, and the length in the z-axis direction constituting the subspace to the converted sensing It may be set to determine that the electronic device is substantially located at the target position by comparing the ratio of the length in the x-axis direction, the length in the y-axis direction, and the length in the z-axis direction of a space constituted by data.
  • the electronic device may have various types of devices.
  • the electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device.
  • a portable communication device eg, a smart phone
  • a computer device e.g., a smart phone
  • a portable multimedia device e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a wearable device e.g., a smart bracelet
  • a home appliance device e.g., a home appliance
  • first, second, or first or second may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.
  • module used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logic block, component, or circuit.
  • a module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions.
  • the module may be implemented in the form of an application-specific integrated circuit (ASIC).
  • ASIC application-specific integrated circuit
  • Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 336 or external memory 338) readable by a machine (eg, electronic device 301). may be implemented as software (eg, the program 340) including
  • the processor eg, the processor 320 of the device (eg, the electronic device 301 ) may call at least one of one or more instructions stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command.
  • the one or more instructions may include code generated by a compiler or code executable by an interpreter.
  • the device-readable storage medium may be provided in the form of a non-transitory storage medium.
  • 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.
  • a signal eg, electromagnetic wave
  • the method according to various embodiments disclosed in this document may be provided in a computer program product (computer program product).
  • Computer program products may be traded between sellers and buyers as commodities.
  • the computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play StoreTM) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones).
  • a portion of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.
  • each component eg, a module or a program of the above-described components may include a singular or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. have.
  • one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added.
  • a plurality of components eg, a module or a program
  • the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. .
  • operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. , or one or more other operations may be added.

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Abstract

L'invention concerne un dispositif électronique destiné à mesurer un emplacement en utilisant des données géomagnétiques, et son procédé de commande. Un dispositif électronique destiné à mesurer un emplacement en utilisant des données géomagnétiques, selon un mode de réalisation de la présente invention, comprend une mémoire, au moins un module capteur et au moins un processeur. Ledit processeur peut être configuré pour : acquérir des données de détection sur un emplacement spécifique dans un espace intérieur à partir dudit module capteur, les données de détection acquises étant des données exprimées dans un premier système de coordonnées, qui comprend un composant temporel ; convertir les données de détection de sorte que les données de détection acquises sont exprimées dans un deuxième système de coordonnées, qui ne comprend pas le composant temporel ; et stocker les données de détection converties dans la mémoire.
PCT/KR2022/003216 2021-03-15 2022-03-07 Dispositif électronique de détection d'emplacement en utilisant des données géomagnétiques, et son procédé de commande WO2022196996A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2021-0033334 2021-03-15
KR1020210033334A KR20220128776A (ko) 2021-03-15 2021-03-15 지자기 데이터를 이용하여 위치를 감지하는 전자 장치 및 그 제어 방법

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WO2022196996A1 true WO2022196996A1 (fr) 2022-09-22

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006329758A (ja) * 2005-05-25 2006-12-07 Nec Tokin Corp 磁気探査装置
KR101365291B1 (ko) * 2012-11-30 2014-02-19 충남대학교산학협력단 오브젝트의 위치 추정 방법 및 장치
KR20170100423A (ko) * 2016-02-25 2017-09-04 한국전자통신연구원 실내 측위 시스템 및 방법
KR20170112641A (ko) * 2016-04-01 2017-10-12 한국정보공학 주식회사 측위 장치 및 방법
US20200233053A1 (en) * 2017-07-26 2020-07-23 Sysnav Method for calibrating a magnetometer

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006329758A (ja) * 2005-05-25 2006-12-07 Nec Tokin Corp 磁気探査装置
KR101365291B1 (ko) * 2012-11-30 2014-02-19 충남대학교산학협력단 오브젝트의 위치 추정 방법 및 장치
KR20170100423A (ko) * 2016-02-25 2017-09-04 한국전자통신연구원 실내 측위 시스템 및 방법
KR20170112641A (ko) * 2016-04-01 2017-10-12 한국정보공학 주식회사 측위 장치 및 방법
US20200233053A1 (en) * 2017-07-26 2020-07-23 Sysnav Method for calibrating a magnetometer

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